<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Fuzzy Matching/string similarity in Qliksense in App Development</title>
    <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502362#M103577</link>
    <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have attached dummy data for your reference.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 22 Jan 2025 09:20:06 GMT</pubDate>
    <dc:creator>Tan1</dc:creator>
    <dc:date>2025-01-22T09:20:06Z</dc:date>
    <item>
      <title>Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502326#M103572</link>
      <description>&lt;P&gt;Is fuzzy matching possible in Qliksense with 60-70% string similarity?&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For Eg.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have 2 tables.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Feild1:&lt;/P&gt;
&lt;P&gt;F1&lt;/P&gt;
&lt;P&gt;From Source1;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Field2:&lt;/P&gt;
&lt;P&gt;F2&lt;/P&gt;
&lt;P&gt;from Source2;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Suppose in Field1, I am having 'IBM &amp;amp; SALARY COMPLETE PROJECTS'&amp;nbsp; and in Field2 I will be having 'IBM INDIA PVT LTD'. I want to join/link Field1 and Field2 with 60% similarity between the strings.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please let me know if it's feasible in QlikSense.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 06:17:05 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502326#M103572</guid>
      <dc:creator>Tan1</dc:creator>
      <dc:date>2025-01-22T06:17:05Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502332#M103574</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/204918"&gt;@Tan1&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can have a look at&amp;nbsp;LevenshteinDist. You might just need to build a key using some of these values along with something like Autonumber.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;LevenshteinDist() returns the Levenshtein distance between two strings&lt;/STRONG&gt;&lt;SPAN&gt;. It is defined as the minimum number of single-character edits (insertions, deletions, or substitutions) required to change one string into the other. The function is useful for fuzzy string comparisons.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards Jandre&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 06:46:58 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502332#M103574</guid>
      <dc:creator>JandreKillianRIC</dc:creator>
      <dc:date>2025-01-22T06:46:58Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502339#M103575</link>
      <description>&lt;P&gt;But I have two separate tables. How can I create association using&amp;nbsp;&lt;STRONG&gt;LevenshteinDist() &lt;/STRONG&gt;function?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 07:14:08 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502339#M103575</guid>
      <dc:creator>Tan1</dc:creator>
      <dc:date>2025-01-22T07:14:08Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502351#M103576</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/204918"&gt;@Tan1&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would join the 2 tables, On a resident load have both the fields, F1, F2 and the LevenshteinDist value.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Then using the above table to look at the values you want to join based on a match and join that,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you can provide a bit more data I can build the back end and send it to you.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards - Jandre&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 08:07:38 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502351#M103576</guid>
      <dc:creator>JandreKillianRIC</dc:creator>
      <dc:date>2025-01-22T08:07:38Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502362#M103577</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have attached dummy data for your reference.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 09:20:06 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502362#M103577</guid>
      <dc:creator>Tan1</dc:creator>
      <dc:date>2025-01-22T09:20:06Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502367#M103578</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/204918"&gt;@Tan1&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is a qvf that links the 2. Let me know if you need this in any other way. (The distance table acts as a small link table - For a lack of a better word)&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="JandreKillianRIC_0-1737540572843.png" style="width: 400px;"&gt;&lt;img src="https://community.qlik.com/t5/image/serverpage/image-id/176725i8FB44C8104CF4855/image-size/medium?v=v2&amp;amp;px=400" role="button" title="JandreKillianRIC_0-1737540572843.png" alt="JandreKillianRIC_0-1737540572843.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards - Jandre&lt;/P&gt;</description>
      <pubDate>Wed, 22 Jan 2025 10:10:10 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2502367#M103578</guid>
      <dc:creator>JandreKillianRIC</dc:creator>
      <dc:date>2025-01-22T10:10:10Z</dc:date>
    </item>
    <item>
      <title>Re: Fuzzy Matching/string similarity in Qliksense</title>
      <link>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2503146#M103579</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.qlik.com/t5/user/viewprofilepage/user-id/204918"&gt;@Tan1&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Please note the forum you have posted to is for the Data Integration product Enterprise Manager, used for managing multiple Replicate/Compose/Catalog servers. To reach your target audience, please consider posting your question here:&amp;nbsp;&lt;A href="https://community.qlik.com/t5/Qlik-Sense/ct-p/qlik-sense" target="_blank"&gt;https://community.qlik.com/t5/Qlik-Sense/ct-p/qlik-sense&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Dana&lt;/P&gt;</description>
      <pubDate>Mon, 27 Jan 2025 18:44:27 GMT</pubDate>
      <guid>https://community.qlik.com/t5/App-Development/Fuzzy-Matching-string-similarity-in-Qliksense/m-p/2503146#M103579</guid>
      <dc:creator>Dana_Baldwin</dc:creator>
      <dc:date>2025-01-27T18:44:27Z</dc:date>
    </item>
  </channel>
</rss>

